Quantifying maternal investment in mammals using allometry.


Journal

Communications biology
ISSN: 2399-3642
Titre abrégé: Commun Biol
Pays: England
ID NLM: 101719179

Informations de publication

Date de publication:
18 Apr 2024
Historique:
received: 18 10 2023
accepted: 09 04 2024
medline: 19 4 2024
pubmed: 19 4 2024
entrez: 18 4 2024
Statut: epublish

Résumé

Maternal investment influences the survival and reproduction of both mothers and their progeny and plays a crucial role in understanding individuals' life-history and population ecology. To reveal the complex mechanisms associated with reproduction and investment, it is necessary to examine variations in maternal investment across species. Comparisons across species call for a standardised method to quantify maternal investment, which remained to be developed. This paper addresses this limitation by introducing the maternal investment metric - MI - for mammalian species, established through the allometric scaling of the litter mass at weaning age by the adult mass and investment duration (i.e. gestation + lactation duration) of a species. Using a database encompassing hundreds of mammalian species, we show that the metric is not highly sensitive to the regression method used to fit the allometric relationship or to the proxy used for adult body mass. The comparison of the maternal investment metric between mammalian subclasses and orders reveals strong differences across taxa. For example, our metric confirms that Eutheria have a higher maternal investment than Metatheria. We discuss how further research could use the maternal investment metric as a valuable tool to understand variation in reproductive strategies.

Identifiants

pubmed: 38637653
doi: 10.1038/s42003-024-06165-x
pii: 10.1038/s42003-024-06165-x
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

475

Informations de copyright

© 2024. The Author(s).

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Auteurs

Tim E R G Huijsmans (TERG)

Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium. info@timhuijsmans.org.

Alexandre Courtiol (A)

Department of Evolutionary Genetics, Leibniz Institute for Zoo & Wildlife Research, Alfred-Kowalke-Str. 17, 10315, Berlin, Germany.

Ann Van Soom (A)

Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.

Katrien Smits (K)

Department of Internal Medicine, Reproduction and Population Medicine, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.

François Rousset (F)

Institute of Evolutionary Science of Montpellier, University of Montpellier, CNRS, IRD, campus Triolet, 34095, Montpellier cedex 05, France.

Jella Wauters (J)

Department of Reproduction Biology, Leibniz Institute for Zoo & Wildlife Research, Alfred-Kowalke-Str. 17, 10315, Berlin, Germany.
Laboratory of Integrative Metabolomics, Department of Translational Physiology, Infectiology and Public Health, Faculty of Veterinary Medicine, Ghent University, Salisburylaan 133, 9820, Merelbeke, Belgium.

Thomas B Hildebrandt (TB)

Department of Reproduction Management, Leibniz Institute for Zoo & Wildlife Research, Alfred-Kowalke-Str. 17, 10315, Berlin, Germany.
Freie Universität Berlin, Kaiserswerther Str. 16-18, 14195, Berlin, Germany.

Classifications MeSH